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Record W7133032615

The nature and meaning of occupational engagement for forensic clients living in the community

2006· dissertation· W7133032615 on OpenAlexaboutno aff
Shing-Fee Nancy Lin

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)TrustworthinessOccupational scienceMental healthOccupational therapyPhenomenological methodForensic science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the nature and meaning of occupational engagement for individuals diagnosed with a major mental illness, charged with committing a crime according to the Criminal Code of Canada, and living in the community. Criterion sampling was used to ensure that all participants experienced the phenomenon in question and were able to provide descriptions of their experience of the phenomenon. Ten participants, 5 males and 5 females were interviewed using an interview guide. Descriptive phenomenological methods adapted from those described by Giorgi (2003; 2005) were used in data analysis. Trustworthiness was ensured via triangulation, peer review, clarification of researcher's biases, member check, and thick rich descriptions. The overall structure of the nature and meaning of occupational engagement for forensic outpatients living in the community consisted of four essences: doing the right thing, connecting with others, importance of freedom and responsibility, and meeting the challenges to occupational engagement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.021
Scholarly communication0.0100.006
Open science0.0020.012
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.181
GPT teacher head0.551
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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